Evidence map›Paper›PMID 35235759›Full record

ArticleBioengineered2022

Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure.

Shuo Wang, Tianjie Lv, Qincong Chen, Yan Yang, Lei Xu, Xiaolei Zhang, Enmao Wang, Xitian Hu, Yuying Liu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Loci Associated With Susceptibility to Biliary Atresia-A Genome-Wide Association Study in Taiwan.Pediatrics international : official journal of the Japan Pediatric Society
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Shuo WangDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Tianjie LvDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Qincong ChenDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Yan YangDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Lei XuDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Xiaolei ZhangDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Enmao WangDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
Xitian HuDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.ORCID 0000-0002-0854-4737
Yuying LiuDepartment of Cardiovasology, Shijiazhuang People's Hospital, Shijiazhaung, HB, China.
First Hospital of Shijiazhuang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac fibrosis (CF) and heart failure (HF) are common heart diseases, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. RNA library construction and high-throughput sequencing were performed. The DESeq2 package in R was used to screen differentially expressed mRNAs (DEmRNAs), differentially expressed lncRNA (DElncRNAs) and differentially expressed miRNA (DEmiRNAs) between different samples. The common DEmRNAs, DElncRNAs and DEmiRNAs for the two diseases were obtained. The ConsensusPathDB (CPDB) was used to perform biological function enrichment for common DEmRNAs. Gene interaction network was constructed to screen out key genes. Subsequently, real-time polymerase chain reaction (RT-PCR) verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized for expression validation and diagnostic analysis. There were 1477 DEmRNAs, 502 DElncRNAs and 36 DEmiRNAs between CF and healthy control group. There were 607 DEmRNAs, 379DElncRNAs,s and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284, and AC239798.2 were key molecules in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in HF. In this study, the identification of common biomarkers of CF and HF may help prevent CF to HF transition as early as possible.

Indexed as

Heart FailureMicroRNAsRNA, Long NoncodingBiomarkers, TumorFibrosisHumansRNA, MessengerTranscriptomeBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerCardiac fibrosisheart failurelibrary constructionlncRNA-miRNA-mRNA networksequencing

Identifiers

PMID35235759
PMCPMC8974171
OpenAlexW4214839912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.